Shengxin Zha

Computer Vision and Pattern Recognition · 2015–2024

A researcher in the Science corpus: 5 papers; trusts 390 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Shengxin Zha trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Andrew Zisserman
  2. Alex Krizhevsky
  3. Karen Simonyan
  4. David G. Lowe
  5. Kaiming He
  6. Geoffrey E. Hinton
  7. Ross B. Girshick
  8. Navneet Dalal
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Shengxin Zha overall

  1. Basura Fernando
  2. Carl Vondrick
  3. Yu-Chuan Su
  4. Stephen Gould
  5. Hamed Pirsiavash
  6. Zuxuan Wu
  7. Shikhar Sharma
  8. Hakan Bilen
  9. Eunbyung Park
  10. Xiaojun Chang

Papers from Shengxin Zha's perspective

Ordered by how strongly the researchers Shengxin Zha trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers